{ "name": "pgmnemo", "abstract": "Single-plan multimodal agent memory for PostgreSQL \u2014 token-budget navigation, provenance-gated writes, outcome-learning", "description": "pgmnemo is a PostgreSQL extension that fuses HNSW vector search (pgvector), BM25 full-text, graph-edge proximity, and JSONB metadata filtering into one SQL query plan inside your existing database. No new service, no data egress, no LLM cost per write. Features: provenance-gated writes (enforce/warn/off), token-economy navigation (navigate_locate + navigate_expand), outcome-learning (reinforce/confidence), bitemporal point-in-time recall, ACID in-place embedding updates, and multi-tenant RLS. Apache-2.0.", "version": "0.8.1", "maintainer": [ "Alex Gaydabura " ], "license": "apache_2_0", "provides": { "pgmnemo": { "abstract": "Single-plan multimodal agent memory for PostgreSQL \u2014 token-budget navigation, provenance-gated writes, outcome-learning", "version": "0.8.1", "file": "extension/pgmnemo--0.8.1.sql", "docfile": "README.md" } }, "resources": { "homepage": "https://github.com/pgmnemo/pgmnemo", "bugtracker": { "web": "https://github.com/pgmnemo/pgmnemo/issues" }, "repository": { "url": "https://github.com/pgmnemo/pgmnemo.git", "web": "https://github.com/pgmnemo/pgmnemo", "type": "git" } }, "prereqs": { "runtime": { "requires": { "PostgreSQL": "14.0.0", "vector": "0.7.0" } }, "build": { "requires": { "pg_config": 0 } } }, "tags": [ "memory", "agent", "agents", "llm", "vector", "pgvector", "provenance", "rag", "graph", "multi-tenant", "hnsw", "recall" ], "release_status": "stable", "generated_by": "hand", "meta-spec": { "version": "1.0.0", "url": "https://pgxn.org/meta/spec.txt" } }